Results 191 to 200 of about 75,461 (296)
HNAS-Reg: Hierarchical Neural Architecture Search for Deformable Medical Image Registration. [PDF]
Wu J, Fan Y.
europepmc +1 more source
FGF13 is upregulated in DRG neurons of PIPNP model mice. DRG neuron‐specific knockout of FGF13 ameliorates PIPNP symptoms. Mechanistically, FGF13 potentiates microtubule detyrosination by promoting VASH1 binding to microtubules. FGF13 knockout suppresses VASH1‐mediated microtubule detyrosination and promotes α‐tubulin tyrosination.
Yiming Dong +10 more
wiley +1 more source
On-Device Neural Architecture Search
Garavagno, Andrea Mattia +4 more
openaire +2 more sources
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi +13 more
wiley +1 more source
Neural architecture search using network embedding and generative adversarial networks. [PDF]
Yousefi M, Mehrdad V, Dowlatshahi MB.
europepmc +1 more source
OM-NAS: pigmented skin lesion image classification based on a neural architecture search. [PDF]
Yang T, He Q, Huang L.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
A methodology for neural spatial interaction modelling [PDF]
This paper presents a methodology for neural spatial interaction modelling. Particular emphasis is laid on design, estimation and performance issues in both cases, unconstrained and singly constrained spatial interaction.
Fischer, Manfred M., Reismann, Martin
core
Protein intrinsically disordered region prediction by combining neural architecture search and multi-objective genetic algorithm. [PDF]
Tang YJ, Yan K, Zhang X, Tian Y, Liu B.
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source

